Electronic International Standard Serial Number (EISSN)
1573-5176
abstract
A novel method to estimate the concentration of Chlamydomonas reinhardtii biomass was developed. The method employs the chord length distribution information gathered by means of a focused beam reflectance probe immersed in the culture sample and processes the data through a feedforward multilayer perceptron. The multilayer perceptron architecture was systematically optimised through the application of a simulated annealing algorithm. The method developed can predict the concentration of microalgae with acceptable accuracy and, with further development, it could be implemented online to monitor the aggregation status and biomass concentration of microalgal cultures.
Classification
subjects
Biology and Biomedicine
Chemistry
keywords
monitoring of microalgal cultures; estimation of microalgal biomass concentration; focused beam reflectance measurement; artificial neural networks